Bridging the gaps in your cloud-based video security with AI boxes

The rapid adoption of video security as a service (VSaaS) is driving businesses to upgrade their security systems with advanced analytics. However, many organizations face challenges in balancing local processing demands with cloud integration. 

AI boxes are becoming essential solutions for modern security systems, providing local storage options that retain critical data on-site while facilitating cloud uploads when necessary. This hybrid approach ensures continuous operation even during connectivity disruptions, reducing reliance on cloud bandwidth and maintaining a secure, redundant backup. 

Additionally, AI boxes enable advanced AI-powered video analytics and processing of the data captured by security cameras, bridging the gap between cloud-based applications and local infrastructure. By offering real-time data analysis, they reduce latency and enhance security operations.

The role of AI boxes in cloud-based video security

AI boxes are advanced devices designed to enhance the functionality of existing non-AI cameras by enabling critical security features like facial recognition, object detection and intrusion alerts. Rather than acting as direct intermediaries to the cloud, AI boxes focus on local data processing, a concept known as edge computing.

By analyzing video feeds at the edge (locally) AI boxes can significantly reduce or even eliminate the need to send large volumes of raw data to the cloud. This approach reduces latency, conserves bandwidth and facilitates faster responses to security events.

Storage requirements for AI boxes

The introduction of AI boxes into security systems brings unique storage demands. Unlike traditional security solutions, which primarily handle raw video data, AI boxes generate additional metadata as part of their analytics functions. This requires storage solutions optimized for these dual workloads. An example of smart parking system implementation that will leverage license plate recognition (LPR) technology runs on AI box for access control, and the system will store metadata (such as plate number, image) and relevant video in the storage media.

High-performance solid-state drives (SSDs) have emerged as the preferred choice for AI boxes. These storage solutions are tailored to handle intensive read-and-write operations associated with video and AI workloads. Additionally, edge storage capabilities in AI boxes reduce reliance on cloud bandwidth by storing critical data locally. This approach facilitates fast data access, system resilience during connectivity issues and continuous operation even during network outages. 

AI boxes rely on storage solutions that meet the dual demands of video data and real-time analytics. High-performance SSDs are essential for ensuring seamless operation, offering the speed and durability required for continuous processing and local data access during network disruptions. Additionally, their low power consumption and compact form factor help reduce system footprint, making them an efficient choice for modern security setups.

Unlocking business value with AI boxes in hybrid security models

For businesses navigating the shift to cloud-based video security, AI boxes provide a practical solution to modernize security infrastructure without replacing existing hardware. By adding advanced analytics capabilities — such as facial recognition, object detection and behavior analysis — to traditional non-AI cameras, these devices help organizations maximize their current investments.

The key advantage of the hybrid approach with AI boxes is that they process data locally for real-time insights, reducing latency and bandwidth costs, while selectively transmitting critical information to the cloud for scalable analytics and centralized management. This enhances operational efficiency and strengthens data privacy by keeping sensitive information on-premises. As hybrid security models transform the industry, AI boxes enable businesses to meet operational demands and privacy requirements, minimize costs, and adapt to future security needs through innovations in processing and storage technologies.

A boxy future for security

AI boxes are transforming video security, bridging traditional on-premises systems with cloud-based technologies. Their ability to integrate third-party cameras, enable real-time analytics, and support hybrid cloud setups makes them essential in modern video security systems.

As VSaaS adoption grows, storage technology plays a critical role. High-performance SSDs optimized for industrial, client and data center applications are key to AI box performance. 

Micron SSDs deliver high performance, industry-leading reliability, superior data protection, optimal endurance and optimization for AI storage workload. These solutions enable AI boxes to operate efficiently across diverse conditions. With low latency, high endurance and flexibility, they provide the foundation for robust and reliable security systems.

For more information about Micron storage solutions, check out our broad portfolio of SSDs  along with our high performance microSD solutions. For more information on benefits of edge storage for video applications, check out  Edge storage for AI-enhanced video applications.